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Titlebook: Blind Equalization and System Identification; Batch Processing Alg Chong-Yung Chi,Chii-Horng Chen,Ching-Yung Chen Textbook 2006 Springer-Ve

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发表于 2025-3-21 17:00:21 | 显示全部楼层 |阅读模式
期刊全称Blind Equalization and System Identification
期刊简称Batch Processing Alg
影响因子2023Chong-Yung Chi,Chii-Horng Chen,Ching-Yung Chen
视频videohttp://file.papertrans.cn/190/189145/189145.mp4
发行地址Offers a unified treatment presenting theory, performance analysis, simulation, implementation and applications.Covers single-input, single-output and multiple-input, multiple-output blind equalizatio
图书封面Titlebook: Blind Equalization and System Identification; Batch Processing Alg Chong-Yung Chi,Chii-Horng Chen,Ching-Yung Chen Textbook 2006 Springer-Ve
影响因子.The absence of training signals from many kinds of transmission necessitates the widespread use of blind equalization and system identification. There have been many algorithms developed for these purposes, working with one- or two-dimensional signals and with single-input single-output or multiple-input multiple-output, real or complex systems. It is now time for a unified treatment of this subject, pointing out the common characteristics of these algorithms as well as learning from their different perspectives. "Blind Equalization and System Identification" provides such a unified treatment presenting theory, performance analysis, simulation, implementation and applications...This is a textbook for graduate courses in discrete-time random processes, statistical signal processing, and blind equalization and system identification. It contains material which will also interest researchers and engineers working in digital communications, source separation, speech processing, and other, similar applications..
Pindex Textbook 2006
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书目名称Blind Equalization and System Identification影响因子(影响力)




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书目名称Blind Equalization and System Identification网络公开度学科排名




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书目名称Blind Equalization and System Identification被引频次学科排名




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书目名称Blind Equalization and System Identification年度引用学科排名




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发表于 2025-3-21 21:15:17 | 显示全部楼层
Applications of Two-Dimensional Blind Deconvolution Algorithms,
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https://doi.org/10.1007/978-3-662-46096-2tering approach using SOS. Then 2-D deconvolution algorithms using HOS are introduced, including MNC and SE algorithms, and their properties and relations to the MMSE algorithm. Finally, a 2-D hybrid blind deconvolution algorithm based on these properties and relations is introduced. Applications of these algorithms are left to the next chapter.
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Two-Dimensional Blind Deconvolution Algorithms,tering approach using SOS. Then 2-D deconvolution algorithms using HOS are introduced, including MNC and SE algorithms, and their properties and relations to the MMSE algorithm. Finally, a 2-D hybrid blind deconvolution algorithm based on these properties and relations is introduced. Applications of these algorithms are left to the next chapter.
发表于 2025-3-22 23:15:18 | 显示全部楼层
Lernen von unabhängigen Reizkomponentenient-type optimization methods. Three popular gradient-type methods were introduced in terms of a complex-valued framework since they are often applied to blind equalization problems. Vector differentiation was then applied to find the solution to the full-rank overdetermined LS problem.
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Textbook 2006m processes, statistical signal processing, and blind equalization and system identification. It contains material which will also interest researchers and engineers working in digital communications, source separation, speech processing, and other, similar applications..
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